| User | z1phos | 
| Upload Date | May 03 2025 02:05 AM | 
| Views | 11 | 
| AI Information | |
|---|---|
| Framework | OpenVINO | 
| Backend | GPU | 
| Device | Intel(R) UHD Graphics 630 (iGPU) | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) | 
| Model | LENOVO 81LK | 
| Motherboard | LENOVO LNVNB161216 | 
| Power Plan | ChrisTitus - Ultimate Power Plan | 
| CPU Information | |
|---|---|
| Name | Intel Core i5-9300H | 
| Topology | 1 Processor, 4 Cores, 8 Threads | 
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 | 
| Base Frequency | 2.40 GHz | 
| Cluster 1 | 4 Cores | 
| Memory Information | |
|---|---|
| Size | 16.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 800 148.8 IPS | |
| Image Classification (HP) | 100% | 1257 233.8 IPS | |
| Image Classification (Q) | 100% | 1151 214.0 IPS | |
| Image Segmentation (SP) | 100% | 937 15.2 IPS | |
| Image Segmentation (HP) | 100% | 1633 26.5 IPS | |
| Image Segmentation (Q) | 99% | 1515 24.6 IPS | |
| Pose Estimation (SP) | 100% | 1826 2.13 IPS | |
| Pose Estimation (HP) | 99% | 1949 2.28 IPS | |
| Pose Estimation (Q) | 97% | 2590 3.03 IPS | |
| Object Detection (SP) | 100% | 748 59.3 IPS | |
| Object Detection (HP) | 99% | 1262 100.4 IPS | |
| Object Detection (Q) | 88% | 1179 94.6 IPS | |
| Face Detection (SP) | 100% | 1858 22.1 IPS | |
| Face Detection (HP) | 100% | 3328 39.5 IPS | |
| Face Detection (Q) | 97% | 2947 35.1 IPS | |
| Depth Estimation (SP) | 100% | 2261 17.4 IPS | |
| Depth Estimation (HP) | 98% | 3921 30.3 IPS | |
| Depth Estimation (Q) | 89% | 3549 27.6 IPS | |
| Style Transfer (SP) | 100% | 5072 6.52 IPS | |
| Style Transfer (HP) | 100% | 7115 9.15 IPS | |
| Style Transfer (Q) | 98% | 6299 8.12 IPS | |
| Image Super-Resolution (SP) | 100% | 899 33.2 IPS | |
| Image Super-Resolution (HP) | 100% | 1699 62.7 IPS | |
| Image Super-Resolution (Q) | 99% | 1603 59.4 IPS | |
| Text Classification (SP) | 71% | 599 866.8 IPS | |
| Text Classification (HP) | 71% | 699 1.01 KIPS | |
| Text Classification (Q) | 92% | 536 720.4 IPS | |
| Machine Translation (SP) | 100% | 645 11.1 IPS | |
| Machine Translation (HP) | 97% | 950 16.4 IPS | |
| Machine Translation (Q) | 98% | 954 16.5 IPS |